Near-Eye Display Image Evaluation via Sub-View Field Segmentation
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Solution Overview
Problem
Near-eye display evaluation systems face challenges in balancing field of view (FOV) and imaging resolution, resulting in either low resolution or loss of pixel-level details when trying to capture the full FOV.
Innovation Solution
Divide the full view field into sub-view-fields, capture high-resolution sub-images for each, and synthesize them to obtain a full image with enhanced pixel-wise details, allowing for evaluation of visual artefacts and nonuniformity distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide measuring FOV is selected to capture the full view field, then the FOV coverage is improved, but the imaging resolution deteriorates resulting in loss of pixel-level details
Solution Approach 1:
The patent divides the full view field into multiple sub-view-fields, each captured at high resolution. The measuring system captures images of individual sub-view-fields separately, then synthesizes them into a complete full-view image. This segmentation allows the system to maintain high resolution for each sub-image while achieving comprehensive FOV coverage through synthesis.
2Measurement precision
If a high-resolution image is required to capture pixel-wise details, then the imaging resolution is improved, but the measuring FOV becomes smaller failing to meet full FOV requirements
Solution Approach 1:
The patent transitions from a single-dimension approach (capturing the entire FOV in one image) to a multi-dimensional approach (capturing multiple sub-FOVs at different positions and synthesizing them). By adding the dimension of multiple measurement positions and using image synthesis processing, the system achieves both high resolution and full FOV coverage.
Data Source
AI summary
A method for image evaluation of a near-eye display (NED) includes: dividing a full view field of the NED into a plurality of sub-view-fields; obtaining a plurality of sub-images corresponding to the plurality of sub-view-fields; synthesizing the plurality of sub-images to obtain a full image; and evaluating the full image to determine if it contains at least one visual artefact or nonuniformity distribution.